Designing a Video Search System Using Topic Models, M.Sc. Thesis Sharif University of Technology ; Gholampoor, Iman (Supervisor) ; Sharif Khani, Mohammad (Supervisor)
Abstract
In this work we present a surveillance video retrieval system based on Topic Models. We’ve shown that employing Dynamic Programming improve the effectiveness of Topic Model based retrival. In the other hand proposed method has the accuracy near to the low-level features based methods. Lightweight database is the major advantageous of propsed method over the low-level features based methods. In our work storage space occupied by database decreases from 42 MB to only 0.4 MB for the mit dataset. Moreover lightweight database strikingly speeded up the retrieval process, for example retrieval process in proposed method is about 24 times faster than low-level features based systems. Furthermore in...
Cataloging briefDesigning a Video Search System Using Topic Models, M.Sc. Thesis Sharif University of Technology ; Gholampoor, Iman (Supervisor) ; Sharif Khani, Mohammad (Supervisor)
Abstract
In this work we present a surveillance video retrieval system based on Topic Models. We’ve shown that employing Dynamic Programming improve the effectiveness of Topic Model based retrival. In the other hand proposed method has the accuracy near to the low-level features based methods. Lightweight database is the major advantageous of propsed method over the low-level features based methods. In our work storage space occupied by database decreases from 42 MB to only 0.4 MB for the mit dataset. Moreover lightweight database strikingly speeded up the retrieval process, for example retrieval process in proposed method is about 24 times faster than low-level features based systems. Furthermore in...
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